Reproducibility Report for ACM SIGMOD 2024 Paper: 'ALP: Adaptive Lossless Floating-Point Compression'
This report describes the reproducibility evaluation carried out for the research paper ''ALP: Adaptive Lossless Floating-Point Compression'', authored by Azim Afroozeh, Leonardo Kuffó, and Peter Boncz from the Centrum Wiskunde & Informatica (CWI), located in Amsterdam, Netherlands. The paper, presented at SIGMOD 2024, introduces ALP, a novel adaptive lossless compression algorithm for floating-point datasets. The results of the reproducibility evaluation confirm the core contributions of the original paper, showing that ALP consistently outperforms state-of-the-art techniques in both compression ratio and (de)compression speed.
Authors
- Leonardo Kuffò (ORCID: https://orcid.org/0000-0002-3575-0528)
- George Katsogiannis-Meimarakis (ORCID: https://orcid.org/0000-0001-8285-5827)
- Peter Boncz (ORCID: https://orcid.org/0000-0001-6256-0140)
- Luca Zecchini (ORCID: https://orcid.org/0000-0002-4856-0838)
- Azim Afroozeh (ORCID: https://orcid.org/0009-0004-1608-834X)
- Bogdan Nicuşor Bindea
Institutions
- University of Modena and Reggio Emilia (IT)
- Centrum Wiskunde & Informatica (NL)
- Technical University of Cluj-Napoca (RO)
- Athena Research and Innovation Center In Information Communication & Knowledge Technologies (GR)
Publication Details
- Published
- 2025-03-21
- DOI
- https://doi.org/10.1145/3687998.3717057
- Primary Topic
- Numerical Methods and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00